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DBMS > Hive vs. Neo4j vs. Stardog

System Properties Comparison Hive vs. Neo4j vs. Stardog

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonNeo4j  Xexclude from comparisonStardog  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopOpen source graph databaseEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSGraph DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.54
Rank#14  Overall
#9  Relational DBMS
Score49.76
Rank#21  Overall
#1  Graph DBMS
Score1.07
Rank#143  Overall
#10  Graph DBMS
#6  RDF stores
Websitehive.apache.orgneo4j.comwww.stardog.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeneo4j.com/­docswww.stardog.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookNeo4j, Inc.Stardog-Union
Initial release201220072010
Current release3.1.2, August 20194.0.4, May 20207.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version3, commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ScalaJava
Server operating systemsAll OS with a Java VMLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesschema-free and schema-optionalschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infoImport/export of XML data possible
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like DML and DDL statementsnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
Thrift
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC++
Java
PHP
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infovia event handleryes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and roles
More information provided by the system vendor
HiveNeo4jStardog
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Stardog provides a full featureset to aid in data integration for your complex data....
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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